Text Ranking
Transformers
Safetensors
mistral
text-generation
text-embeddings-inference
8-bit precision
compressed-tensors
Instructions to use ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-nvfp4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-nvfp4") model = AutoModelForCausalLM.from_pretrained("ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-nvfp4") - Notebooks
- Google Colab
- Kaggle
Ctrl+K